OpenML
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 3492 Supervised Classification monks-problems-1 116029 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 398.2623, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4501, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.5732, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8414, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.8042, kappa: 0.6223, kb_relative_information_score: 284.8529, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8629, predictive_accuracy: 0.8112, prior_entropy: 1, recall: 0.8112, relative_absolute_error: 0.5135, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.375, root_relative_squared_error: 0.75, scimark_benchmark: 1744.8652, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072, scimark_benchmark: 1152.004, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.1548, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8352, scimark_benchmark: 1311.4649, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9441, kappa: 0.8885, kb_relative_information_score: 173.254, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9479, predictive_accuracy: 0.9442, prior_entropy: 1, recall: 0.9442, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7658, usercpu_time_millis: 0.389, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 0.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9441, kappa: 0.8885, kb_relative_information_score: 173.254, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9479, predictive_accuracy: 0.9442, prior_entropy: 1, recall: 0.9442, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7658, usercpu_time_millis: 0.303, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9405, kappa: 0.8813, kb_relative_information_score: 175.3969, mean_absolute_error: 0.3729, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9448, predictive_accuracy: 0.9406, prior_entropy: 1, recall: 0.9406, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7628, usercpu_time_millis: 0.245, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.8093, kappa: 0.6187, kb_relative_information_score: 340.6097, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8098, predictive_accuracy: 0.8094, prior_entropy: 1, recall: 0.8094, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8453, scimark_benchmark: 1416.417, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072, scimark_benchmark: 1377.4309, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.7048, kappa: 0.446, kb_relative_information_score: 248, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7959, predictive_accuracy: 0.723, prior_entropy: 1, recall: 0.723, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0526, scimark_benchmark: 1742.8208, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.7048, kappa: 0.446, kb_relative_information_score: 248, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7959, predictive_accuracy: 0.723, prior_entropy: 1, recall: 0.723, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0526, scimark_benchmark: 1854.0453, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.8093, kappa: 0.6187, kb_relative_information_score: 343.1282, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8098, predictive_accuracy: 0.8094, prior_entropy: 1, recall: 0.8094, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8452, scimark_benchmark: 1918.4916, usercpu_time_millis: 2109.375, usercpu_time_millis_training: 2109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.8042, kappa: 0.6223, kb_relative_information_score: 285.8784, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8629, predictive_accuracy: 0.8112, prior_entropy: 1, recall: 0.8112, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7499, scimark_benchmark: 1918.4916, usercpu_time_millis: 2015.625, usercpu_time_millis_training: 2015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072, scimark_benchmark: 1355.7426, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072, scimark_benchmark: 1397.9175, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 556, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5, scimark_benchmark: 1320.6561, usercpu_time_millis: 1190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9386, kappa: 0.8777, kb_relative_information_score: 461.7476, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9455, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4154, scimark_benchmark: 933.6955, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 398.2623, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4501, scimark_benchmark: 1648.0369, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.1549, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8352, scimark_benchmark: 1794.9117, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 119.0663, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8788, scimark_benchmark: 1374.5263, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072, scimark_benchmark: 1862.8608, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072, scimark_benchmark: 1697.6783, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 512.854, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.1569, scimark_benchmark: 943.7305, usercpu_time_millis: 1170, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.1548, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 190.9137, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 535.5067, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9877, predictive_accuracy: 0.9874, prior_entropy: 1, recall: 0.9874, relative_absolute_error: 0.0379, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.1947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.8114, kappa: 0.6259, kb_relative_information_score: 348, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8234, predictive_accuracy: 0.813, prior_entropy: 1, recall: 0.813, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 184.4783, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.7461, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.7234, kappa: 0.4784, kb_relative_information_score: 181.7556, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8102, predictive_accuracy: 0.7392, prior_entropy: 1, recall: 0.7392, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9586, kappa: 0.9173, kb_relative_information_score: 499.4868, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9618, predictive_accuracy: 0.9586, prior_entropy: 1, recall: 0.9586, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.3533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9316, kappa: 0.8633, kb_relative_information_score: 454.9248, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9322, predictive_accuracy: 0.9317, prior_entropy: 1, recall: 0.9317, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.1548, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 556, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, root_mean_prior_squared_error: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 550.5175, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.0643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.8435, kappa: 0.6942, kb_relative_information_score: 270.6729, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8829, predictive_accuracy: 0.8471, prior_entropy: 1, recall: 0.8471, relative_absolute_error: 0.552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.8435, kappa: 0.6942, kb_relative_information_score: 270.6729, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8829, predictive_accuracy: 0.8471, prior_entropy: 1, recall: 0.8471, relative_absolute_error: 0.552, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 184.3187, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8353,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 17.1979, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9784,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.5054, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.0771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 487.5302, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1606, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.095, root_relative_squared_error: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 495.8102, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.1461,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9371, kappa: 0.8741, kb_relative_information_score: 497.8417, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9371, predictive_accuracy: 0.9371, prior_entropy: 1, recall: 0.9371, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3555,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8237, kappa: 0.6475, kb_relative_information_score: 342.3291, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8243, predictive_accuracy: 0.8237, prior_entropy: 1, recall: 0.8237, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9316, kappa: 0.8633, kb_relative_information_score: 478.6988, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9325, predictive_accuracy: 0.9317, prior_entropy: 1, recall: 0.9317, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.4292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 523.6037, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.1346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 466.5038, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.2684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 17.1979, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.4826, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6737, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 186.4867, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4146, root_relative_squared_error: 0.8291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9368, kappa: 0.8741, kb_relative_information_score: 467.555, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9441, predictive_accuracy: 0.9371, prior_entropy: 1, recall: 0.9371, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.213, root_relative_squared_error: 0.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9892, kappa: 0.9784, kb_relative_information_score: 457.0754, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 1, recall: 0.9892, relative_absolute_error: 0.2141, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.4543, mean_absolute_error: 0.3453, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9856, kappa: 0.9712, kb_relative_information_score: 538.1092, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 1, recall: 0.9856, relative_absolute_error: 0.0331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2354,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 429.0344, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 424.0397, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.7207, kappa: 0.4748, kb_relative_information_score: 172.454, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8121, predictive_accuracy: 0.7374, prior_entropy: 1, recall: 0.7374, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 184.4783, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 190.9137, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 398.2623, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.225, root_relative_squared_error: 0.4501,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8473, kappa: 0.7014, kb_relative_information_score: 333.1785, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.885, predictive_accuracy: 0.8507, prior_entropy: 1, recall: 0.8507, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.7272, kappa: 0.4856, kb_relative_information_score: 196.3864, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8149, predictive_accuracy: 0.7428, prior_entropy: 1, recall: 0.7428, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 190.9137, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 190.9137, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 190.9137, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 190.9137, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 195.0587, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9892, kappa: 0.9784, kb_relative_information_score: 545.4244, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9894, predictive_accuracy: 0.9892, prior_entropy: 1, recall: 0.9892, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.1649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 190.9137, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8251,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs